hdi_prob specification in get_plot_data_bayesian

Author: lpoug

causalpy/experiments/prepostfit.py

@@ -303,13 +303,21 @@ def ols_plot(self, round_to=None, **kwargs) -> tuple[plt.Figure, List[plt.Axes]]
 
         return (fig, ax)
 
+<<<<<<< HEAD
     def get_plot_data_bayesian(self, hdi_prob: float = 0.94) -> pd.DataFrame:
+=======
+    def get_plot_data_bayesian(self, hdi_prob=0.94) -> pd.DataFrame:
+>>>>>>> 1734486 (hdi_prob specification in get_plot_data_bayesian)
         """
         Recover the data of a PrePostFit experiment along with the prediction and causal impact information.
         """
         if isinstance(self.model, PyMCModel):
             pre_data = self.datapre.copy()
             post_data = self.datapost.copy()
+<<<<<<< HEAD
+=======
+
+>>>>>>> 1734486 (hdi_prob specification in get_plot_data_bayesian)
             pre_data["prediction"] = (
                 az.extract(self.pre_pred, group="posterior_predictive", var_names="mu")
                 .mean("sample")